Vinayak Mokashi

About Vinayak Mokashi

As a Data Scientist at Accenture and proud alumnus of NMIMS, Mumbai, my journey has been a blend of rigorous academic training and hands-on experience in the fast-paced world of data science. With a foundational background in Statistics and an M.Sc. in Applied Statistics and Analytics, complemented by specialized courses and certifications, I have developed a deep understanding of statistical methods, machine learning, and deep learning frameworks. This comprehensive skill set enables me to tackle complex data challenges, driving technological and business innovations. Beyond technical expertise, I am driven by a desire to effect positive societal change. I am deeply committed to child empowerment—focusing particularly on underprivileged children—and am an advocate for animal welfare. These passions shape my approach to data science, ensuring that the solutions I develop are not only effective but also ethically sound and socially beneficial. I am a firm believer in the transformative power of data to improve lives. I actively seek out collaborative opportunities that aim to make a significant impact. Whether it’s introducing cutting-edge data-driven strategies in the business world or supporting vital social causes, I am keen to connect with fellow professionals and organizations who are as enthusiastic about making a difference as I am. If you’re interested in discussing potential collaborations, exploring new project ideas, or simply wish to connect over our shared passion for data science and social good, please don’t hesitate to reach out to me here on LinkedIn or send an email to v••••••••@gmail.com. Together, let’s drive forward change and develop meaningful solutions that leave a lasting impact. Let’s build a better tomorrow, today.

Experience

1. Ai Ml Computational Science Analyst

   Accenture

   Jul 2023 — Present · IN

   Client: Leading North American electronics retailer- Conducted analysis on 2.5 years of sales data, enhancing inventory planning by 10% and boosting promotional responsiveness by 15%, leading to a $500K revenue increase- Developed and maintained an Open Box Pricing Simulation tool, improving pricing accuracy by 20% and reducing decision-making time by 30%- Designed a Discount Reduction Matrix that improved pricing strategies, increasing profit margins by 6%- Implemented a test-control evaluation method that raised promotional accuracy by 18% and reduced promotional spending by 10%- Identified high-performing SKUs, resulting in a 25% increase in promotional effectiveness and a $200K revenue uplift during peak sales periods- Utilized automated web scraping techniques to cut competitor price analysis time by 90% and enhance market responsiveness- Actively contributed to company-wide diversity and inclusion programs, fostering an enhanced workplace culture.Techniques Used: Non-linear Regression, CART decision Trees, Clustering, Forecasting

Education

• University of Mumbai

  Bachelor's degree, Statistics

• SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

  Master's degree, Applied Statistics & Analytics

• Brown University

  Master of Science - MS, Data Science